Drones4Safety · Project

Self-Charging Drone Swarms That Inspect Railways and Bridges Without Human Crews

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Imagine drones that fly along railway tracks and under bridges checking for cracks and damage — and they recharge themselves by tapping into overhead power lines, so they never need to come back to base. Instead of sending human inspectors into dangerous spots, a team of these drones works together like a squad, covering different sections at the same time. They use AI to spot problems on the fly and satellite navigation to pinpoint exactly where repairs are needed. The project tested this on actual railways and bridges with real results.

By the numbers

consortium partners across Europe

countries represented (BE, DE, DK, FR, IT)

real-world test cases completed (railway and bridge)

total project deliverables produced

SME partners in the consortium

44%

industry partner ratio in consortium

The business problem

What needed solving

Railway and bridge operators must inspect vast stretches of infrastructure regularly to ensure public safety, but manual inspections are slow, expensive, dangerous, and too infrequent to catch problems early. Shutting down tracks or lanes for inspection crews causes costly service disruptions and still leaves gaps between checks where damage can go undetected.

The solution

What was built

The project built a cooperative autonomous drone swarm system — both hardware and software — capable of self-charging from overhead electricity infrastructure. It was validated through 2 real-world case studies: one on railway inspection and one on bridge inspection, with documented results and lessons learned. A total of 22 deliverables were produced across AI-based inspection algorithms, energy harvesting, GNSS navigation, and long-range drone communication.

Audience

Who needs this

National and regional railway operators needing continuous track and structure monitoringHighway and bridge authorities responsible for aging infrastructure maintenanceDrone inspection service companies looking for autonomous charging and swarm capabilitiesInfrastructure asset management firms seeking to reduce manual inspection costsEnergy grid operators managing overhead power line corridors

Business applications

Who can put this to work

Railway Operations

enterprise

Target: National or regional railway operators

If you are a railway operator dealing with the challenge of inspecting thousands of kilometers of track, overhead lines, and structures — this project developed a self-charging drone swarm system that harvests energy from your existing overhead electricity infrastructure. The drones schedule autonomous inspection missions using satellite maps and AI-powered defect detection, meaning your crews spend less time trackside in dangerous conditions. The system was validated in an actual railway test case with documented results.

Civil Engineering & Bridge Management

enterprise

Target: Highway authorities and bridge maintenance firms

If you are a bridge operator or highway authority struggling with the cost and risk of manual bridge inspections — this project built collaborative drone swarms that can autonomously inspect bridge structures and pinpoint damage locations using EGNOS/Galileo satellite navigation. The AI algorithms process inspection images onboard the drone, delivering results without needing massive data uploads. The technology was tested in an actual bridge inspection case study across a consortium of 9 partners.

Drone Inspection Services

SME

Target: Commercial drone service providers and inspection startups

If you are a drone service company looking to differentiate your inspection offering — this project developed energy harvesting technology that lets drones recharge from overhead power lines, eliminating the range limitation that grounds most commercial drones. The swarm communication system uses advanced low-power long-range networking so multiple drones inspect different infrastructure sections simultaneously. With 3 SME partners already involved in the consortium, the technology was designed with commercial adoption in mind.

Frequently asked

Quick answers

What would it cost to deploy this drone inspection system?

Based on available project data, specific pricing is not disclosed. The system is described as being offered to transportation operators as software services and a hardware drone system, suggesting a service-based pricing model rather than outright purchase. Contact the consortium for commercial terms.

Can this scale to inspect a national railway network?

The system was designed for large-scale infrastructure. It uses satellite maps to plan autonomous missions across infrastructure corridors, and swarm coordination allows multiple drones to inspect different sections simultaneously. The EGNOS/Galileo GNSS integration provides the geo-location accuracy needed for network-wide asset tracking.

Who owns the intellectual property and can I license this?

The project was funded as a Research and Innovation Action (RIA) under Horizon 2020, coordinated by Syddansk Universitet in Denmark with 9 partners across 5 countries. IP is typically shared among consortium members. With 4 industry partners including 3 SMEs, there are commercial entities positioned to license or deploy the technology.

Has this actually been tested on real infrastructure?

Yes. The project completed 2 real-world case studies — one on railway inspection and one on bridge inspection — with documented results and lessons learned. The drone swarm prototype hardware and software was demonstrated as part of the project deliverables.

Does this work with existing inspection workflows and standards?

The system was designed to be offered to transportation operators, implying integration with existing operations. It uses established EGNOS/Galileo satellite navigation for accurate geo-location of inspection events, which aligns with standard infrastructure asset management practices. Based on available project data, specific regulatory certifications are not detailed.

How does the self-charging actually work?

The project designed energy harvesters that tap energy from overhead electricity infrastructure of railways and power lines. The system uses satellite and open maps to identify where transport infrastructure runs near electricity infrastructure, then schedules drone missions to include recharging stops along these routes.

Consortium

Who built it

The Drones4Safety consortium brings together 9 partners from 5 European countries (Belgium, Germany, Denmark, France, Italy), with a healthy 44% industry ratio — 4 industry players including 3 SMEs alongside 3 universities and 2 research organizations. This mix matters for a business buyer: the industrial partners ensured the technology was built with real operational constraints in mind, not just academic curiosity. The coordinator is Syddansk Universitet in Denmark, a strong technical university, while the SME presence signals that smaller, agile companies are already positioned to bring components of this technology to market. The geographic spread across Western Europe means the system was tested against different infrastructure standards and regulations.

SYDDANSK UNIVERSITETCoordinator · DK
AARHUS UNIVERSITETparticipant · DK
CENTRO EUROPEO DI FORMAZIONE E RICERCA IN INGEGNERIA SISMICAparticipant · IT
DEEP BLUE SRLparticipant · IT
EUROCONTROL - EUROPEAN ORGANISATION FOR THE SAFETY OF AIR NAVIGATIONparticipant · BE
NEAT SRLparticipant · IT
ALTEIAparticipant · FR

How to reach the team

Coordinated by Syddansk Universitet (Denmark). SciTransfer can facilitate an introduction to the project team.

Order a report on this consortium See SYDDANSK UNIVERSITET profile →

Next steps

Talk to the team behind this work.

Want to explore how autonomous drone inspection could work for your infrastructure? SciTransfer can connect you with the Drones4Safety team and help assess fit for your specific use case.

Order a report on this topic More in Transport & Mobility